Real ship motions' multi-steps prediction based on add-weighted LLE-based model

Real ship motions' multi-steps prediction based on add-weighted LLE-based model

Real ship motions at sea are chaotic. A multi-steps forecast model was proposed based on add-weighted largest lyapunov exponent-based model (ALLEM), which improves the prediction effectiveness for noised-chaotic time series. Forecast test based on ALLEM was carried out for a series of real ship'...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Bo Liu, Feng Cai, Aiguo Shi
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Chaos
Hydrodynamics
Marine vehicles
Noise
Predictive models
Sea measurements
Time series analysis
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Beschreibung
Zusammenfassung:Real ship motions at sea are chaotic. A multi-steps forecast model was proposed based on add-weighted largest lyapunov exponent-based model (ALLEM), which improves the prediction effectiveness for noised-chaotic time series. Forecast test based on ALLEM was carried out for a series of real ship's roll and pitch time series, the error analysis result demonstrates that the ALLEM is applicable for real ship motions' multi-steps prediction.
DOI:10.1109/ICICIP.2010.5564247